Nitrogen palaeo-isoscapes: Changing spatial gradients of faunal δ(15)N in late Pleistocene and early Holocene Europe

• Published in: PLOS ONE
• Main Authors: Reade, Hazel, Tripp, Jennifer A., Frémondeau, Delphine, Sayle, Kerry L., Higham, Thomas F. G., Street, Martin, Stevens, Rhiannon E.
• Format: Text
• Language: English
• Published: Public Library of Science 2023
• Subjects: Research Article; permafrost
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901814/; http://www.ncbi.nlm.nih.gov/pubmed/36745587; https://doi.org/10.1371/journal.pone.0268607

Nitrogen isotope ratio analysis (δ(15)N) of animal tissue is widely used in archaeology and palaeoecology to investigate diet and ecological niche. Data interpretations require an understanding of nitrogen isotope compositions at the base of the food web (baseline δ(15)N). Significant variation in animal δ(15)N has been recognised at various spatiotemporal scales and related to changes both in baseline δ(15)N, linked to environmental and climatic influence on the terrestrial nitrogen cycle, and animal ecology. Isoscapes (models of isotope spatial variation) have proved a useful tool for investigating spatial variability in biogeochemical cycles in present-day marine and terrestrial ecosystems, but so far, their application to palaeo-data has been more limited. Here, we present time-sliced nitrogen isoscapes for late Pleistocene and early Holocene Europe (c. 50,000 to 10,000 years BP) using herbivore collagen δ(15)N data. This period covers the Last Glacial-Interglacial Transition, during which significant variation in the terrestrial nitrogen cycle occurred. We use generalized linear mixed modelling approaches for interpolation and test models which both include and exclude climate covariate data. Our results show clear changes in spatial gradients of δ(15)N through time. Prediction of the lowest faunal δ(15)N values in northern latitudes after, rather than during, the Last Glacial Maximum is consistent with the Late Glacial Nitrogen Excursion (LGNE). We find that including climatic covariate data does not significantly improve model performance. These findings have implications for investigating the drivers of the LGNE, which has been linked to increased landscape moisture and permafrost thaw, and for understanding changing isotopic baselines, which are fundamental for studies investigating diets, niche partitioning, and migration of higher trophic level animals.